States_cars.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1cb4b41a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d2050139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>capital</th>\n",
       "      <th>subsidy</th>\n",
       "      <th>road tax</th>\n",
       "      <th>petrol</th>\n",
       "      <th>diesel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>Amaravati</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>111.65</td>\n",
       "      <td>99.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>Itanagar</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>95.89</td>\n",
       "      <td>84.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Assam</td>\n",
       "      <td>Dispur</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>96.34</td>\n",
       "      <td>84.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bihar</td>\n",
       "      <td>Patna</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>109.17</td>\n",
       "      <td>95.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>102.98</td>\n",
       "      <td>95.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Goa</td>\n",
       "      <td>Panaji</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>97.82</td>\n",
       "      <td>90.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gujarat</td>\n",
       "      <td>Gandhinagar</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>96.49</td>\n",
       "      <td>92.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Haryana</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>97.24</td>\n",
       "      <td>90.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>Shimla</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>95.74</td>\n",
       "      <td>81.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>100.09</td>\n",
       "      <td>94.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Karnataka</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>102.64</td>\n",
       "      <td>88.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kerala</td>\n",
       "      <td>Thiruvananthapuram</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.50</td>\n",
       "      <td>106.45</td>\n",
       "      <td>95.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>Bhopal</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.99</td>\n",
       "      <td>110.02</td>\n",
       "      <td>95.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>111.18</td>\n",
       "      <td>95.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Manipur</td>\n",
       "      <td>Imphal</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>101.22</td>\n",
       "      <td>87.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>Shillong</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>95.06</td>\n",
       "      <td>83.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Mizoram</td>\n",
       "      <td>Aizawl</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>95.72</td>\n",
       "      <td>82.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Nagaland</td>\n",
       "      <td>Kohima</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>98.28</td>\n",
       "      <td>86.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Odisha</td>\n",
       "      <td>Bhubaneswar</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>104.45</td>\n",
       "      <td>95.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Punjab</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>96.26</td>\n",
       "      <td>86.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                state             capital  subsidy  road tax  petrol  diesel\n",
       "0      Andhra Pradesh           Amaravati      0.0      1.00  111.65   99.41\n",
       "1   Arunachal Pradesh            Itanagar   5000.0      0.00   95.89   84.81\n",
       "2               Assam              Dispur  10000.0      1.00   96.34   84.24\n",
       "3               Bihar               Patna  10000.0      1.00  109.17   95.82\n",
       "4        Chhattisgarh              Raipur   5000.0      0.00  102.98   95.96\n",
       "5                 Goa              Panaji   8000.0      1.00   97.82   90.37\n",
       "6             Gujarat         Gandhinagar  10000.0      0.50   96.49   92.23\n",
       "7             Haryana          Chandigarh      0.0      0.00   97.24   90.08\n",
       "8    Himachal Pradesh              Shimla   5000.0      0.00   95.74   81.99\n",
       "9           Jharkhand              Ranchi   5000.0      0.00  100.09   94.88\n",
       "10          Karnataka           Bengaluru      0.0      1.00  102.64   88.55\n",
       "11             Kerala  Thiruvananthapuram      0.0      0.50  106.45   95.34\n",
       "12     Madhya Pradesh              Bhopal      0.0      0.99  110.02   95.18\n",
       "13        Maharashtra              Mumbai   5000.0      1.00  111.18   95.66\n",
       "14            Manipur              Imphal   5000.0      0.00  101.22   87.16\n",
       "15          Meghalaya            Shillong   4000.0      1.00   95.06   83.28\n",
       "16            Mizoram              Aizawl      0.0      0.00   95.72   82.17\n",
       "17           Nagaland              Kohima   5000.0      0.00   98.28   86.65\n",
       "18             Odisha         Bhubaneswar      0.0      1.00  104.45   95.97\n",
       "19             Punjab          Chandigarh      0.0      1.00   96.26   86.63"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv(\"states_data_car.csv\")\n",
    "data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f376dcaf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 36 entries, 0 to 35\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   state     36 non-null     object \n",
      " 1   capital   36 non-null     object \n",
      " 2   subsidy   36 non-null     float64\n",
      " 3   road tax  36 non-null     float64\n",
      " 4   petrol    36 non-null     float64\n",
      " 5   diesel    36 non-null     float64\n",
      "dtypes: float64(4), object(2)\n",
      "memory usage: 1.8+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b2e99115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state       0\n",
       "capital     0\n",
       "subsidy     0\n",
       "road tax    0\n",
       "petrol      0\n",
       "diesel      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b0733f19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=data[\"subsidy\"])\n",
    "plt.title('Count plot of subsidy')\n",
    "plt.xlabel('Subsidy')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1fd59da1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=data[\"road tax\"])\n",
    "plt.title('Count plot of road tax')\n",
    "plt.xlabel('road tax')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e6d36487",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.barplot('state', 'petrol', data=data, color = 'lightslategrey')\n",
    "plt.title('Petrol Price in Different States' , fontsize = 16)\n",
    "plt.ylabel('Petrol Price')\n",
    "plt.xlabel('State Name')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f8f0aede",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 6))\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.barplot('state', 'diesel', data=data, color = 'lightslategrey')\n",
    "plt.title('Diesel Price at different states' , fontsize = 16)\n",
    "plt.ylabel('Diesel Price')\n",
    "plt.xlabel('State Name')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8474c0a2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}